Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

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Zhenzhen Bao,Jian Guo,Danping Shi,Yi Tuserve that existing models take into account the respective advantages of the two modalities but do not fully explore the roles of cross-modality features of various levels. To this end, we remodel the relationship between RGB features and depth features from a new perspective of the feature encodin

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Semi-quantum Tokenized Signaturesworks have been hampered by (1) insufficient data similarity mining based on global-only image representations, and (2) the hash code semantic loss caused by the data augmentation. In this paper, we propose a novel method, namely Weighted Contrative Hashing (WCH), to take a step towards solving thes

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Xiaoyang Dong,Jian Guo,Shun Li,Phuong Phamthe target content usually scatters over the whole image, and they are indiscernible from the background. Thus, it is difficult to learn feature representation that focuses on these contents, rendering CVGL a challenging and unsolved task. In this work, we design a Content-Aware Hierarchical Represe

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234138.jpg

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Computer Vision – ACCV 2022978-3-031-26348-4Series ISSN 0302-9743 Series E-ISSN 1611-3349